Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets. How to implement algorithms that work and how to think about scaling to large datasets. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy. This will be run as a 0 cp + 2 cp unit of study. Students should have strong programming skills in Python 3, with a good understanding of loops, decisions and user-defined functions.
4 weeks of online tutorials, programming activities and online video lectures
online quizzes and a computational exam
Students should have strong programming skills in Python 3, with a good understanding of loops, decisions and user-defined functions.